186 IT Analyst jobs in Kaikalur

Job Summary 

Moris Media is seeking a detail-oriented and proactive Data Analyst to join our dynamic team. In this role, you will leverage advanced analytical skills to uncover actionable insights, drive informed decision-making, and support strategic initiatives across marketing and business development functions. The ideal candidate will have a strong background in data interpretation, visualization, and storytelling, with a passion for translating complex datasets into clear recommendations. If you excel at uncovering trends and creating data-driven solutions that impact growth, we welcome your expertise and invite you to contribute to our culture of innovation and continuous improvement.

Primary Responsibilities

• Identify and analyze market trends, consumer behavior, and business performance metrics to support strategic planning.

• nterpret complex datasets to uncover actionable insights and recommend strategies for growth.

• D velop, maintain, and optimize reports, dashboards, and data visualizations to communicate findings effectively.

• C llaborate with cross-functional teams to define key performance indicators and reporting requirements.

• C nduct ad hoc analyses to support marketing campaigns, product development, and sales initiatives.

• E sure data accuracy and integrity through systematic validation and quality checks.

• P epare clear presentations and reports that translate data into compelling narratives for stakeholders.

• U ilize statistical techniques to evaluate campaign effectiveness and business outcomes.

• S pport automation of data collection, reporting processes, and workflow improvements.

• M intain a strong understanding of Moris Media’s services and offerings to align analysis with business objectives.

Primary Skills

• Adv nced proficiency in data analysis tools and software, including SQL, Excel, and data visualization platforms (e.g., Tableau, Power BI).

• S rong analytical and critical thinking skills with the ability to interpret and present data clearly.

• E cellent communication and interpersonal skills to engage effectively with stakeholders and clients.

• E perience with statistical modeling and forecasting techniques.

• H gh attention to detail and a commitment to data accuracy.

• A ility to manage multiple projects and deadlines in a fast-paced environment.

• F miliarity with marketing analytics and CRM platforms is a plus.

Qualifications

• B chelor’s degree in Data Science, Statistics, Business, Marketing, or a related field.

• Rel vant certifications in analytics or data visualization are desirable.

• S rong record of working collaboratively with cross-functional teams.

Experience

• 1 3 years of experience in data analysis, preferably within marketing, media, or technology sectors.

If you feel your skills and experience align with this opportunity, we encourage you to apply through or directly via our official careers page at:

We are seeking a skilled and analytical Data Analyst to help turn data into actionable insights that support decision-making across the organization. The ideal candidate will have a passion for problem-solving, strong analytical skills, and the ability to effectively communicate findings to stakeholders.

• Collect, clean, and analyze data from various sources to ensure accuracy and completeness.
• Develop and maintain dashboards, reports, and visualizations to monitor key performance indicators (KPIs).
• Identify trends, patterns, and correlations within large data sets to support business decisions.
• Collaborate with cross-functional teams to define data requirements and provide analytical support.
• Conduct market research and competitive analysis to inform strategic planning.
• Perform statistical analyses to validate hypotheses and support forecasting efforts.
• Develop and maintain documentation for data analysis processes and methodologies.
• Present insights and recommendations to stakeholders in a clear and concise manner.
• Proven experience as a Data Analyst or similar role.
• Proficiency in data analysis tools and programming languages, such as SQL, Python, or R.
• Experience with data visualization tools like Tableau, Power BI, or Excel.
• Strong knowledge of statistical methods and data modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Effective communication and presentation skills to convey technical information to non-technical audiences.

Title: Data Analyst

Location: REMOTE

Contract Position

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• 4+ years of experience in data analytics or data engineering roles.

• Understand Supply Chain business processes.

• Experienced in working on Analytics related projects and implementation.

• Good exposure to SAP ERP systems like ECC or S/4HANA

Candidates MUST be fluent in English, big requirement.

Role Profile: Business Analyst – Data Analytics

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Role Summary:

We are seeking a highly skilled and detail-oriented Functional Engineer with expertise in data analytics platforms, particularly SAP HANA and Snowflake. This role will play a critical part in the migration of enterprise data solutions from HANA to Snowflake, ensuring business continuity, data integrity, and performance optimization. The ideal candidate will bridge the gap between business requirements and technical implementation, working closely with data architects, developers, and business stakeholders.

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Key Responsibilities:

• Work with business stakeholders to understand and collate the analytics and reporting requirements.

• Analyze and conduct feasibility studies of the requirements.

• Collaborate with the capabilities team to Identify the source systems, source data set, source tables needed to fulfil the requirements.

• Convert the functional requirements to technical solution.

• Create detailed business requirement documents (BRD) and functional design document Collaborate with data modeler and data engineers to develop the technical solution. (FD).

• Perform Functional Unit Testing of the solution.

• Support Business teams for completion of User Acceptance Testing.

• Facilitate communication between business and IT.

• Support deployment of technical solution to production.

• Identify continuous improvement opportunities.

• Ensure data quality, consistency, and performance in the new Snowflake environment.

• Work with cross-functional teams including data engineers, BI developers, and business analysts.

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Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• 4+ years of experience in data analytics or data engineering roles.

• Understand Supply Chain business processes.

• Experienced in working on Analytics related projects and implementation.

• Good exposure to SAP ERP systems like ECC or S/4HANA

• Understand data modelling concepts (HANA Modelling would be added advantage).

• Ability to identify relationship between data sets.

• Exposure to SQL queries and ability to query data for analysis/troubleshooting.

• Exposure to BI reporting tools

• Excellent communications skills, written and verbal.

• Strong analytical and problem-solving skills.

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Preferred Qualifications:

• Experience with cloud platforms.

• Knowledge of BI tools (e.g., Power BI).

Hi All, We are hiring for Data Expert (Data Analyst + Data Modeller + Data Engineer), kindly refer the below description:

Work Mode - Remote.

In this role, you will:

• Support the delivery of complex transformation program development within data portfolio.
• Work within agile multi-skilled teams to create world class products to serve our customer’s needs.
• Perform the elicitation and analysis of business change, functional and non-functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
• Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
• Understand the "user" journey end to end which goes beyond the "system”.
• Provide advanced business knowledge and technical support for requirements development.
• Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
• Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
• Create and maintain the data models.

To be successful in this role, you should meet the following requirements:

• Strong Data Analysis and/or Data Modeling experience 4-10 years.
• Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
• Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards.
• Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
• Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
• A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment.
• Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
• Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
• Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable).

Role Description

This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for gathering, analyzing, and interpreting complex data sets to help make informed business decisions. Day-to-day tasks include performing data modeling, statistical analysis, and creating data reports. The Data Analyst will also collaborate with cross-functional teams to identify and meet data needs, and communicate findings to stakeholders in clear and concise language.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Expertise in Statistics and Data Modeling
• Excellent Communication skills for conveying complex data insights
• Proficiency in using data analysis tools and software
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• Ability to work independently and remotely
• Experience in the pharmaceutical industry is a plus

Hi All, We are hiring for Data Expert (Data Analyst + Data Modeller + Data Engineer), kindly refer the below description:

Work Mode - Remote.

In this role, you will:

• Support the delivery of complex transformation program development within data portfolio.
• Work within agile multi-skilled teams to create world class products to serve our customer’s needs.
• Perform the elicitation and analysis of business change, functional and non-functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
• Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
• Understand the "user" journey end to end which goes beyond the "system”.
• Provide advanced business knowledge and technical support for requirements development.
• Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
• Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
• Create and maintain the data models.

To be successful in this role, you should meet the following requirements:

• Strong Data Analysis and/or Data Modeling experience 4-10 years.
• Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
• Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards.
• Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
• Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
• A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment.
• Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
• Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
• Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable).

We are seeking a skilled and analytical Data Analyst to help turn data into actionable insights that support decision-making across the organization. The ideal candidate will have a passion for problem-solving, strong analytical skills, and the ability to effectively communicate findings to stakeholders.

• Collect, clean, and analyze data from various sources to ensure accuracy and completeness.
• Develop and maintain dashboards, reports, and visualizations to monitor key performance indicators (KPIs).
• Identify trends, patterns, and correlations within large data sets to support business decisions.
• Collaborate with cross-functional teams to define data requirements and provide analytical support.
• Conduct market research and competitive analysis to inform strategic planning.
• Perform statistical analyses to validate hypotheses and support forecasting efforts.
• Develop and maintain documentation for data analysis processes and methodologies.
• Present insights and recommendations to stakeholders in a clear and concise manner.
• Proven experience as a Data Analyst or similar role.
• Proficiency in data analysis tools and programming languages, such as SQL, Python, or R.
• Experience with data visualization tools like Tableau, Power BI, or Excel.
• Strong knowledge of statistical methods and data modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Effective communication and presentation skills to convey technical information to non-technical audiences.

Role Description

This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for gathering, analyzing, and interpreting complex data sets to help make informed business decisions. Day-to-day tasks include performing data modeling, statistical analysis, and creating data reports. The Data Analyst will also collaborate with cross-functional teams to identify and meet data needs, and communicate findings to stakeholders in clear and concise language.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Expertise in Statistics and Data Modeling
• Excellent Communication skills for conveying complex data insights
• Proficiency in using data analysis tools and software
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• Ability to work independently and remotely
• Experience in the pharmaceutical industry is a plus

EStreet IT Service & IT Consulting is a leader in digital marketing solutions, driving online success since 2015. We specialize in crafting digital strategies, improving SEO, managing social media, and conducting PPC advertising. Our web development and design create memorable digital storefronts. EStreet is known for its innovation, results-driven approach, tailored solutions, and client-centric focus.

This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for analyzing data sets, developing data models, and applying statistical methods to extract insights. Day-to-day tasks include data visualization, report generation, and communicating findings to stakeholders. This role requires strong analytical skills and the ability to work independently.

• Analytical Skills and Data Analytics
• Experience in Statistics and Data Modeling
• Strong Communication skills for reporting and presenting data insights
• Proficiency in data visualization tools such as Tableau or Power BI
• Bachelor's degree in Data Science, Statistics, Computer Science, or related field
• Experience in the IT or digital marketing industry is a plus